Reimagining Customer Engagement: Beyond Hierarchical Reinforcement Learning
Following up on one of my recent posts about using bandits as the anchor point for how we think about agentic learning: Yes, we’ve stretched the bandit framing well beyond its usual territory — multi-dimensional action spaces, non-ergodic structure, per-user learning – but it’s still a better conceptual fit than alternatives like hierarchical RL. Customer […]